JOB SUMMARY:

Are you passionate about AI and eager to work on cutting-edge technology? Do you know how to develop AI models and deploy them to production environments? We're looking for a Data Scientist to join our team and help drive innovation in AI-driven recruitment service. If you're experienced with large language models (LLMs), AI systems, and cloud service, we want to hear from you!

RESPONSIBILITIES:

• Design, develop, and deploy AI and machine learning models with a focus on large language models (LLMs).
• Optimize AI models and systems for performance, scalability, and reliability.
• Build and refine recommendation engines and generative AI systems.
• Conduct LLM assessment, including systematic validation, benchmarking of LLMs and prompt injections.
• Collaborate with cross-functional teams to bring AI solutions to production.
• Implement ML-assisted data processing, labeling, and distillation techniques.
• Ensure AI systems comply with security standards and regulatory requirements.
• Stay current with the latest AI trends and technologies to apply innovative solutions to business problems.
• Provide guidance and mentorship to team members on AI best practices.
• Maintain comprehensive documentation of AI architecture, design decisions, and workflows.

REQUIREMENTS:

• LanguageGOOD English OR Japanese
• 2+ years of hands-on experience developing AI and data products.
• Strong experience with Large Language Models (LLMs) and NLP frameworks/libraries (e.g., Gensim, SpaCy).
• Proficiency with the modern data science stack, including Python, NumPy, Pandas, Scikit-Learn, and Jupyter/Colab notebooks.
• Experience taking AI ideas to production and familiarity with cloud platforms
• Knowledge of Deep Learning frameworks like PyTorch, TensorFlow, and Keras.
• Experience in machine learning software stacks involving deep neural networks, optimization, simulation, and ETL processes.
• Hands-on experience with generative AI, prompting techniques, vector databases, embeddings, fine-tuning, and agentic systems.
• Strong analytical and problem-solving skills with attention to detail.
• Experience with SQL and NoSQL databases, data warehouses, and RESTful APIs.
• Experience with LLM safety testing and developing defense mechanisms against vulnerabilities (e.g., prompt injections).
• Familiarity with fairness assessments in AI systems.
• Experience with LLM guardrails and safety tools like NeMo, LLM-Guard.
• Experience with building NLP and NLU models using state-of-the-art algorithms (BERT, Transformer, etc.).